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Evaluation of opportunity based urban road network accessibility using GIS

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Abstract

The structural performance of any transport network may be mainly evaluated using connectivity, accessibility, hierarchy and morphology. The evaluation of accessibility is one of the most important aspect in defining the performance of a road network structure. The present study is concerned with proposing a methodology for the city—level opportunity (or) urban services and distance based accessibility evaluation. The various opportunities (or) urban services like schools, colleges, ATM’s, banks, hospitals, police stations, petrol bunks, bus stops, parks and theatres up to a specified distance of 0–5 km radius were considered for the analysis. The weights were assigned to different opportunities and were analyzed using Weighted Scoring Model. The Mean Weighted Accessibility Index has been determined for each location to identify the level of accessibility in a particular location. The study attempts to define the level of road network accessibility at different locations in the study area. In the later stage, this study tried to establish the relationship between the number of opportunities and trip attraction rates and the results were discussed. The present work was also intended to prove the efficiency of Geographical Information Systems in opportunity based accessibility assessment.

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References

  1. Hansen, W. (1959). How accessibility shapes land use. Journal of the American Institute of the Planners,25, 73–76.

    Article  Google Scholar 

  2. Dalvi, M. Q., & Martin, K. M. (1976). The measurement of accessibility: Some preliminary results. Transportation,5, 17–42.

    Article  Google Scholar 

  3. Burns, L. D. (1979). Transportation, Temporal and Spatial Components of Accessibility. Lexington: Lexington Books.

    Google Scholar 

  4. Avika, B., & Lerman, (1977). Disaggregate travel and mobility choice models and measures of accessibility. In Hensherd & P. Stopher (Eds.), Behavioural travel modelling (pp. 654–679). London: Croom Helm.

    Google Scholar 

  5. Mackiewicz, A., & Ratajczak, W. (1996). Towards a new definition of topological accessibility. Transportation Research Part B,30(1), 47–79.

    Article  Google Scholar 

  6. Ahmed, G. M. E. I., & Levinson, M. D. (2006). Access to destinations: Development of accessibility measures. Minnesota: In research report published by Minnesota Department of Transportation.

    Google Scholar 

  7. Wu, Y. H., & Miller, H. J. (2002). Computational tools for measuring space-time accessibility within transportation networks with dynamic flow. Journal of Transportation Statistics,4(2/3), 1–14.

    Google Scholar 

  8. Bhat, C., Handy, S., Kockelamn, K., Mahmassani, H., Chen, Q & Weston, L., (2002). Urban accessibility index: Literature review. Research Report TX 01/7-4938-01, Texas Department of Transportation, TX.

  9. Ingram, D. R. (1971). The concept of accessibility: A search for an operational form. Regional Studies,5, 101–107.

    Article  Google Scholar 

  10. Handy, S. L., & Niemeier, D. A. (1977). Measuring accessibility: An exploration of issues and alternatives. Environment and Planning A,29, 1175–1194.

    Article  Google Scholar 

  11. Liu, C., & Yu, R. (2012). Spatial accessibility of road network in Wuhan metropolitan area based on spatial syntax. Journal of Geographic Information System,4, 128–135.

    Article  Google Scholar 

  12. Weiping, H., & Chi, W. (2014). Urban road network accessibility evaluation method based on GIS spatial analysis techniques. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38 Part II, 114–117.

  13. Ford, A. C., Barr, S. L., Dawson, R. J., & James, P. (2015). Transport accessibility analysis using GIS: Assessing sustainable transport in London. ISPRS, International Journal of Geo Information,4, 124–149. https://doi.org/10.3390/ijgi4010124.

    Article  Google Scholar 

  14. Modinpuroju, A., Prasad, C. S. R. K., & Chandra, M. (2016). Facility-based planning methodology for rural roads using spatial analysis techniques. Innovative Infrastructure Solutions,1, 41. https://doi.org/10.1007/s41062-016-0041-8.

    Article  Google Scholar 

  15. Report on Data Compilation and Statistical Analysis, Consultancy services for Comprehensive Transportation Study (CTS) for Hyderabad Metropolitan Area (HMA).

Download references

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Correspondence to Kurre Sai Sahitya.

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Sahitya, K.S., Prasad, C.S.R.K. Evaluation of opportunity based urban road network accessibility using GIS. Spat. Inf. Res. 28, 487–493 (2020). https://doi.org/10.1007/s41324-019-00309-6

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  • DOI: https://doi.org/10.1007/s41324-019-00309-6

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